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Internship Data Quality Analyst Jobs (NOW HIRING)

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

BOK Financial

Senior Data Quality Analyst

Addison, TX · On-site

So you can go beyond." The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

BOK Financial

Senior Data Quality Analyst

Dallas, TX · On-site

So you can go beyond." The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

F5, Inc.

Data Quality Analyst II

Seattle, WA · On-site

$77K - $116K/yr

The Data Quality Analyst 2 will be responsible for ensuring the accuracy, completeness, and consistency of our subscription data across all systems and platforms. The successful candidate will work ...

Droisys

Sr. Data Quality Analyst

Minneapolis, MN

Position : Sr. Data Quality Analyst Location : Minneapolis MN Duration : 6+ months Interview format, phone screen followed by F2F Skype is possible Rate As per the market The candidate should have ...

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Internship Data Quality Analyst information

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How much do internship data quality analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for internship data quality analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For an Internship Data Quality Analyst or similar entry-level data roles, starting a career in data science at age 40 is feasible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in life, and employers value diverse experience and continuous learning, making age less of a barrier than skill and motivation.

What is the difference between Internship Data Quality Analyst vs Data Analyst?

AspectInternship Data Quality AnalystData Analyst
CredentialsTypically pursuing or recent graduate with coursework in data management or related fieldsBachelor's degree in data science, statistics, or related field; often requires some experience
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time role in various industries, including finance, healthcare, and tech
Employer UsageUsed by companies to train and evaluate potential future employees or for short-term projectsPermanent position focused on analyzing and interpreting data to support business decisions

The Internship Data Quality Analyst role is typically an entry-level, temporary position aimed at gaining experience in data quality processes. In contrast, a Data Analyst is a full-time professional responsible for analyzing data to inform business strategies. While both roles require knowledge of data management, the internship focuses on learning and support, whereas the Data Analyst role involves independent analysis and decision-making.

Is QA analyst an entry-level job?

A QA analyst role can be entry-level or require some experience, depending on the company and specific job requirements. Entry-level positions typically focus on basic testing and quality assurance tasks, often requiring familiarity with testing tools and attention to detail. More advanced roles may require knowledge of scripting, data analysis, or industry-specific standards.

What does an Internship Data Quality Analyst do?

An Internship Data Quality Analyst assists in ensuring the accuracy, integrity, and consistency of data within an organization. They help identify data errors, perform quality checks, and work with teams to resolve issues related to data quality. Interns in this role may use data analysis tools, maintain documentation, and support senior analysts in improving data management processes. This position is ideal for students or recent graduates looking to gain hands-on experience in data analytics and quality assurance.

Can I do a data analyst internship?

A data analyst internship is typically available to students or entry-level candidates interested in developing skills in data analysis, including proficiency with tools like Excel, SQL, or Python. Internships often require basic understanding of data concepts and may involve tasks such as data cleaning, visualization, and reporting under supervision.

What are some common challenges faced by Internship Data Quality Analysts, and how can they overcome them?

Internship Data Quality Analysts often encounter challenges such as identifying inconsistencies in large datasets, understanding complex data structures, and communicating data issues to different stakeholders. To overcome these, interns should develop strong attention to detail, familiarize themselves with data management tools, and proactively seek guidance from senior analysts. Effective documentation and clear communication are also essential for flagging and resolving data quality issues within a collaborative team environment.

What are the key skills and qualifications needed to thrive as an Internship Data Quality Analyst, and why are they important?

To thrive as an Internship Data Quality Analyst, you need a solid understanding of data management principles, attention to detail, and academic coursework in statistics, computer science, or a related field. Familiarity with data analysis tools like Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns excel in identifying and addressing data issues. These skills ensure data integrity, support business decision-making, and contribute to successful project outcomes.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms provide opportunities in areas such as audit, consulting, tax, and advisory, often requiring strong analytical skills and relevant coursework. Internships at these firms are highly competitive and can lead to full-time roles in the accounting and consulting industries.
What cities are hiring for Internship Data Quality Analyst jobs? Cities with the most Internship Data Quality Analyst job openings:
What are the most commonly searched types of Data Quality Analyst jobs? The most popular types of Data Quality Analyst jobs are:
What states have the most Internship Data Quality Analyst jobs? States with the most job openings for Internship Data Quality Analyst jobs include:
Internship Data Quality Analyst jobs near you

Data Quality Analyst

American technologies consulting

Decatur, GA • On-site

Contractor

Posted yesterday

Job description

*MUST be local to Metro Atlanta*
**ONSITE REQUIRED*
Key Responsibilities:

Front Desk Data Validation and Correction

• Utilize SQL queries and Mylnsight reporting tools to identify and correct front desk-related data

entry errors.

• Perform routine audits for the following:

o Benefit Assignments: End-date outdated or incorrectly assigned benefits.

o Insurance Relationships: Ensure the insured relationship is correctly set to "Self."

o Checkout Status: Investigate patients who have not checked out and apply corrective

actions.

Clinical Data Integrity

• Analyze service records for completeness, accuracy, and compliance with billing requirements.

• Identify and correct:

o Document how data is currently being entered into Mylnsight. The primary objective is to

develop a Standard Operating Procedure (SOP) for each program, which will serve as

formal documentation to be shared with Patagonia.

o Missing Office and lab Visits in program services requiring both components.

o Billable Services lacking appropriate Evaluation & Management (E/M) or Office Visit

codes.

o Diagnoses missing associated E/M codes.

o Vaccination Admin Fees not entered for patients with Medicaid, Medicare, or Private

Insurance.

o Incorrect Service Entry Points ( e.g., services entered from the Front Desk instead of

Home View).

o Services logged under incorrect events.

Duplicate Record Management

• Identify, merge, and clean up duplicate patient records using Mylnsight and supporting tools.

• Maintain record consistency across the EHR to ensure accurate reporting and billing.

Required Qualifications:

• Associate's or Bachelor's degree in Health Information Technology, Computer Science,

Healthcare Administration, or a related field.

• Minimum of 2 years of experience working with EHR systems, preferably Mylnsight by Nets mart.

• Prof1c1ent ,n SQC"for data querying ana report generation.

• Strong analytical and problem-solving skills.

• Experience with data cleanup and auditing workflows in a healthcare setting.

Preferred Qualifications:

• Experience working in a public health or clinical environment.

• Familiarity with healthcare billing and insurance requirements (Medicaid, Medicare, Private).

• Understanding of ICD/CPT coding and E/M documentation standards.

Competencies:

• High attention to detail and data accuracy.

• Ability to work independently and collaboratively with clinical and administrative staff.

• Strong organizational and time-management skills.

• Clear verbal and written communication.